EP0106265A2 - Image data processing apparatus - Google Patents
Image data processing apparatus Download PDFInfo
- Publication number
- EP0106265A2 EP0106265A2 EP83109915A EP83109915A EP0106265A2 EP 0106265 A2 EP0106265 A2 EP 0106265A2 EP 83109915 A EP83109915 A EP 83109915A EP 83109915 A EP83109915 A EP 83109915A EP 0106265 A2 EP0106265 A2 EP 0106265A2
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- EP
- European Patent Office
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- image data
- parameter
- original image
- processing apparatus
- storage means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S378/00—X-ray or gamma ray systems or devices
- Y10S378/901—Computer tomography program or processor
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
Description
- The present invention relates to an image data processing apparatus which performs spatial filtering of image data so as to extract and display image data effective for diagnosis by a physician in a medical image diagnosis apparatus.
- Digital signal processing techniques are more frequently being used in medical image processing by medical image processing apparatuses such as X-ray CT apparatuses or digital radiography apparatuses. In particular, spatial filtering has an important role as a technique for performing smoothening, or edge enhancement.
- However, at present, spatial filtering is utilized for slight edge enhancement with fixed frequency characteristics for filtering. Although such spatial filtering is effective for diagnosis, data effective for diagnosis which are provided together with unnecessary data, cannot be effectively utilized. A digital radiography apparatus for obtaining an X-ray transmission image in the form of digital data has a density resolution of 200 to 500 tone or gradation (gray) levels. In contrast to this, a display device, e.g., a CRT has only about 30 gradation levels. Moreover a viewer has the ability to distinguish about 10 to 20 gradation levels. For this reason, there have been many types of image data which are included in the original image data and which are effective for diagnosis and yet which cannot be used for reproducing fine contrast.
- It is an object of the present invention to provide an image data processing apparatus which can arbitrarily and finely control the frequency characteristics of digital image data which is finally obtained using two different parameters during filtering of the digital image data.
- It is another object of the present invention to provide an image data processing apparatus which simplifies the processing method and improves the processing speed during filtering of digital image data.
- It is still another object of the present invention to provide an image data processing apparatus which can provide desired frequency characteristics by keeping one of two different parameters fixed and varying the other by a simple method during filtering of digital image data.
- Those objects may be accomplished by providing an image data processing apparatus comprising first storage means for storing original image data in a digital form which is used for medical diagnosis, filtering means for performing a filtering function of said original image data so as to control spatial frequency characteristics of said original image data, second storage means for storing the filtered image data derived from said filtering means, first multiplier means for multiplying said filtered image data which is stored in said second storage means, by a first parameter so as to give a first weighted value to said filtered image data, second multiplier means for multiplying said original image data which is stored in said first storage means, by a second parameter so as to give a second weighted value to said original image data, parameter input terminal means for producing said two parameters and delivering the same to said first and second multiplier means respectively, and adder means for performing a linear combination operation between said first and second multiplied image data so as to obtain an added image data whose spatial frequency characteristics are controlled to be different from that of said original image data.
- The present invention may be best understood with reference to the accompanying drawings, in which:
- Fig. 1 shows a schematic diagram of an image data processing apparatus according to one preferred embodiment;
- Fig. 2A is a representation of a multiplier arrangement of the 3 x 3 filter, Fig. 2B is a representation of an input pixel of the input image data;
- Fig. 2B is a partially shown illustration of an input image data in which one input pixel is marked;
- Fig. 2C is a graphic representation of a spatial frequency characteristics of a filter;
- Fig. 3 is an illustration for explaining interface circuits with respect to the filter;
- Figs. 4A and 4B are block diagrams of the internal circuitry of the filter;
- Fig. 5 is a timing chart of operations of the filter shown in Figs. 4A and 4B;
- Fig. 6 shows a block diagram of the image data adder device;
- Fig. 7 is an internal circuit diagram of the parameter input terminal;
- Fig. 8 shows an illustration of another embodiment of the parameter input terminal;
- Fig. 9 shows a schematic diagram of an image data processing apparatus according to another preferred embodiment; and
- Fig. 10 shows a schematic diagram of the multiplier and the adder device of the apparatus shown in Fig. 9.
- Fig. 1 is a block diagram of an embodiment of the present invention.
- Referring to Fig. 1, an original image data storage memory (referred to as "OID" memory) 1 stores digital image data obtained by scanning an object (not shown) by a known digital radiography apparatus or the like. An output from the OID memory 1 is connected to a 3 x 3
filter 2 and to amultiplier 5 having a multiplication of B. Thefilter 2 performs a filtering process to be described later. An output from thefilter 2 is supplied to a filtered image data storage memory (referred to as "FID" memory) 3 and is stored therein. An output from theFID memory 3 is supplied to amultiplier 4 having a multiplication of A. - An output from a
parameter input terminal 8 is used for controlling the twomultipliers multipliers adder device 6 is accumulated in a processed image data storage memory (referred to as "PID" memory) 7. - The mode of operation of the apparatus described above will now be described. The
filter 2 performs the filtering process of smoothening or enhancing the original image data stored in the OID memory 1. The filtered image data from thefilter 2 is stored in theFID memory 3. The filtered image data stored in theFID memory 3 is multiplied by A by thefirst multiplier 4, and the multiplication product is supplied to the imagedata adder device 6. Meanwhile, the original image data from the OID memory 1 is multiplied by B by thesecond multiplier 5 and the multiplication product is supplied to theadder device 6. These data are subjected to linear combination such that image data having desired frequency characteristics can be obtained. - The mode of operation will be described in further detail.
- A description will be made with reference to a 3 x 3 linear non-recursive type two
dimensional filter 2 of support size which is adopted in this embodiment. Thefilter 2 is a basic and important device in image processing and is effective for noise removal, sharpness control, edge enhancement and the like. A 3 x 3 filter is a filter which performs a convolution given by equation (1) below between a matrix of coefficients a, b and c as shown in Fig. 2A and one input pixel (x, y) as shown in Fig. 2B. -
- When the coefficients a, b and c are properly selected, various frequency characteristics can be obtained within a range such that they can be expressed in the form of a function H. As a result, this filter can be used as either a low-pass filter or a high-pass filter.
-
-
- The greater the parameter A, the greater the slope of the frequency response curve of the high-pass filter. When the parameter A has a negative value, the filter serves as a low-pass filter. The parameter B defines the ratio of the component of the original image data in the output data. The greater the parameter B, the closer the output image data is to the original image data. The smaller the parameter B, the more significant are the high-pass or low-pass characteristics of the filter. In this manner, the two parameters A and B are significant values in determining the filter characteristics, and can be conveniently used as a measure for determining the spatial frequency characteristics.
-
-
-
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- Then, the coefficients A2 and B2 can be obtained from equation (11) above as:
-
- The direction dependency of these spatial frequency characteristics can be represented as shown in Fig. 2C using the direction (angle) 8 as a parameter.
- When various parameters of the
multipliers filter 2. Then, the original image data and the filtered image data stored in theFID memory 3 are multiplied by desired weight coefficients (i.e., parameters) to perform linear combination. Thus, high-speed processing is further facilitated. -
- In order to calculate output pixel data G.. corresponding to the x- and y-coordinates of i and j, respectively, input pixel data F.. and data of the surrounding eight pixels having the pixel F.. as the center are read out from the OID memory 1 storing the image pixel data F therein. The readout data are added together. Signals Xin and Yin produced from the 3 x 3
filter 2 constitute x- and y-address signals for reading out the input pixel data and surrounding pixel data from the OID memory 1. The readout input pixel data F is sequentially supplied to thefilter 2. The output pixel data Gij from thefilter 2 is stored in theFID memory 3. Signals Xout and Yout are the x- and y-address signals for storing the output pixel data Gij in thememory 3. - Figs. 4A and 4B are block diagrams showing the internal circuit of the 3 x 3
filter 2, and Fig. 5 is a timing chart for explaining the mode of operation of thefilter 2. Reference symbols a to t in Figs. 4A and 4B correspond to waveforms a to ℓ in Fig. 5. A signal a is a clock pulse CK and is supplied to acounter 11. Thecounter 11 frequency-divides the clock pulse a to produce an output signal b. The signal b is supplied to anothercounter 12. Thecounter 12 frequency-divides the signal b to obtain an output signal c. The signal c is supplied to afurther counter 13. Thecounter 13 frequency-divides the signal c to obtain an output signal d. The signal d is supplied to a still further counter 14 to be frequency-divided to obtain an output signal e. The signals b and d are added by anadder 32 which produces a signal f. The signals c and e are added by anotheradder 31 which produces a signal g. The signal f corresponds to the signal Xin shown in Fig. 3, while the signal g corresponds to the signal Yin shown in the same figure. Accordingly, the signals Xin and Yin are signals for sequentially scanning an area of a 3 x 3 matrix having the input pixel as the center. The input pixel is then shifted by one pixel in the x-direction and the corresponding 3 x 3 matrix area is scanned. When scanning of one line is completed in this manner, the input pixel is shifted by one pixel in the y-direction, and a similar scanning operation is repeated. The signals Xin and Yin constitute x- and y-addresses for reading out the image data from the OID memory 1. The pixel data from the memory 1 is parallel-supplied to latches 41 to 49 as image data F. The timings at which the data F is latched in theselatches 41 to 49 are determined by control signals hI to h9 from ashift register 22. An output timing from theshift register 22 is synchronous with the clock pulse a. Individual image data, i.e., F(0,0), F(l, 0), F(0, 1), F (2, 0), F(l, 1) , F (2, 1), F(0, 2), F (1, 2) and F(2, 2) are latched in thelatches 41 to 49, respectively, and appear as outputs il to i9. The signals il to i9 are added byadders 51 to 58. - 1 1 A calculation of the term Σ Σ F(i+kl, j+k2) k2=l kl=l is thus completed. The calculation result is latched in a
latch 35 at a timing determined by an output signal k from ashift register 21, which latch then produces a signal ℓ. The signal ℓ constitutes output image data G of the 3 x 3filter 2 and is supplied to theFID memory 3 for storing the filtered data. X- and y-address signals Xout and Yout for storing the output image data G in theFID memory 3 are obtained by latching the signals Xin and Yin bylatches - Fig. 6 is a block diagram for explaining the linear combination of the original image data and the filtered image data from the 3 x 3 filter. The linear combination circuit comprises an
address signal generator 9, themultipliers adder device 6. In theaddress signal generator 9, a clock pulse a' is supplied to acounter 61 which frequency-divides the pulse a' to produce a signal b'. The signal b' is supplied to anothercounter 62 to be further frequency-divided to produce a signal c'. The signals c' and b' (d') are used as x- and y-address signals for accessing thememories multiplier element 65 of themultiplier 5 and the filtered image data is supplied as a signal j' to one input terminal of a multiplier element-66 of themultiplier 4.Registers respective multipliers parameter input terminal 8. The parameters A and B are produced as signals k and k' in response to shift control signals h' and e' and are supplied to the other input terminal of each of themultiplier elements multiplier elements multiplier elements adder 67 to be added together. In this manner, the linear combination is performed, and processed image data p' is obtained. The processed image data p' is stored in a predetermined area of thePID memory 7 which is selected by signals X and Y from theaddress signal generator 9. - Fig. 7 is a block diagram showing an example of the
parameter input terminal 8 shown in Fig. 1. The terminal comprises first andsecond parameter generators generators D converters ALUs ALUs ALUs - A modification of the parameter input terminal will now be described. In general, in a parameter input terminal, a set of parameters A and B must be designated. This may be said to be equivalent to the selection of one point on the x-y plane. Accordingly, a parameter input terminal 80 as shown in Fig. 8 may be conveniently used, together with an input device such as a digitizer or a light pen device which is capable of designating a single point on the x-y plane. In Fig. 8, parameters A and B are plotted along the two orthogonal axes, that is, the x- and y-axes. Fig. 8 shows the frequency characteristics for 16 typical points. As the parameter A increases (to the right from a central point 82), a sharper high-pass filter frequency response curve is obtained. As the parameter A becomes increasingly negative (to the left from the central point 82), sharper low-pass characteristics are gradually obtained. The parameter B corresponds to the ratio of the original image data component to the processed image data. As the parameter B increases (upward from the central point 82), the processed image data becomes closer to the original image data. It is to be noted that points other than the 16 points indicated in the figure can be designated. In this manner, by designating a point by its coordinates, the spatial frequency characteristics to be obtained can be visually confirmed by the operator, thus improving the operability of the parameter input terminal.
- According to the present invention, a set of parameters can be selected using a parameter input terminal, so that desired spatial frequency characteristics may be designated. Various types of characteristics can be finely designated. In this case, the frequency characteristics to be obtained can be visually confirmed from the values of the parameters. Accordingly, a spatial filtering apparatus with improved operability can be provided. In accordance with the embodiment using a parameter input terminal which allows designation of the parameters by coordinate points, fine designation can be performed and operability is improved due to easy confirmation of the designated parameters on the x-y plane. In a conventional 3 x 3 filter, nine multiplication operations are performed for one image data. However, in the present invention, only two multiplication operations are required, so that high-speed operation can be performed.
- Another embodiment of an image data processing apparatus of the present invention will now be described with reference to Figs. 9 and 10.
- The configuration of the embodiment shown in Fig. 9 remains basically the same as that of the first embodiment and will only be simply described. The same reference numerals as used in Fig. 1 denote the same parts in Fig. 9. An original image data memory (to be referred to as OID memory) 1 stores original image data to be filtered. The original image data in the OID memory 1 is read out and is supplied to a 3 x 3
filter 2. The smoothening 3 x 3filter 2 adds together the data of each given pixel with data of the eight surrounding pixels having a given pixel as its center. Thefilter 2 filters the sum data as the pixel data of the given pixel and the filtered image data from thefilter 2 is supplied to and stored in a filtered image data storage memory (to be referred to as FID memory) 3. The image data filtered by the 3 x 3filter 2 and stored in thememory 3 is read out therefrom and is supplied to amultiplier 5. Themultiplier 5 multiplies the filtered image data by a parameter B set for the original image data. The product from themultiplier 5 is supplied to an image data adder device (to be referred to as adder device) 6. Theadder device 6 also receives the pixel data of the original image data from the memory 1. Theadder device 6 adds the two input data and supplies the sum data to a processed image data memory (to be referred to as FID memory) 7. A parameter B of themultiplier 5 is generated from aparameter input terminal 90 in the following manner. That is, a DC voltage +5 V is divided by avariable resistor 92, and the resultant voltage is supplied to an A/D converter 94 which supplies a digital signal to anALU 96. TheALU 96 calculates the parameter B. - As may be apparent from the configuration as described above, in this embodiment only one parameter B can easily be set by a single
variable resistor 92. - When various parameters are used for one original image data, the image data filtered by the 3 x 3
filter 2 and stored in thememory 3 is read out for each such parameter. Then, the original image data and the filtered image data are subjected to linear combination by theadder device 5. Thus, high-speed processing can be achieved. When the readout timings from thememories 1 and 3 are synchronized for performing addition of the original image data and the filtered image data for the same pixel, the image data of this pixel is supplied to theadder device 6 and the sum data is supplied to thememory 7. Accordingly, when the contents of thememory 7 are read out and displayed by an image display device, an image in which the original image data and the filtered image.data are weighted by desired coefficients can be displayed. - Fig. 10 shows the
multiplier 5 and theadder device 6 for weighting and adding the original image data and the filtered image data from the 3 x 3 filter. Referring to Fig. 10, a clock pulse a is frequency-divided by acounter 61 which produces a signal b. The signal b is supplied to anothercounter 62 which frequency-divides the signal b and produces a signal c. The signals d and c are used as x- and y-address signals for accessing thememories register 64 stores a parameter B from thevariable resistor 92 shown in Fig. 9. Amultiplier element 66 calculates the product of the filtered image data and the parameter B, and the obtained product is added to the original image data by anadder 67, thus performing linear combination. The obtained result is stored in an address of thememory 7 which is accessed by the x- and y-address signals d and c. - The mode of operation of.the embodiment described above may be summarized as follows. A single parameter is input by a parameter input means of an extremely simple configuration, e.g., a variable resistor. When the parameter is minimal, flat spatial frequency characteristics (equal to the original image) are obtained. As the parameter increases, high-frequency components (edge) are gradually enhanced. In this manner, the original image data is subjected to spatial frequency processing for variable spatial frequency characteristics.
- As a result, the addition ratio of the filtered image data to the original image data can be changed by adjusting the
variable resistor 92. The ratio of the image data which has been subjected to edge enhancement to the original image data is increased, and images for varying ratios of such image data can be displayed. This facilitates diagnosis and allows the formation of various composite images, so that the data of the image can be freely reproduced in a desired manner. Furthermore, since in the present invention the original image data and the filtered image data are stored in separate memories and are weighted separately by desired weight coefficients, a complex operation need not be performed. High-speed operation can be performed, and desired composite images can be obtained within a short period of time, thereby facilitating easy diagnosis. - The present invention is not limited to the particular embodiments described above, and various changes and modifications may be made within the spirit and scope of the present invention. For example, in the embodiments described above, a 3 x 3 filter is used for smoothing the image data. However, the present invention is not limited to this. A series of processing steps such as filtering, weighting and addition can be replaced by software to be executed by a computer.
- In the embodiments described above, the 3 x 3
filter 2 has a smoothening function. However, a filter having an edge enhancing function can be used.
Claims (11)
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP57176700A JPS5966272A (en) | 1982-10-07 | 1982-10-07 | Spatial filtering device |
JP176700/82 | 1982-10-07 | ||
JP23356582A JPS59123068A (en) | 1982-12-28 | 1982-12-28 | Picture display processor |
JP233565/82 | 1982-12-28 |
Publications (4)
Publication Number | Publication Date |
---|---|
EP0106265A2 true EP0106265A2 (en) | 1984-04-25 |
EP0106265A3 EP0106265A3 (en) | 1985-03-20 |
EP0106265B1 EP0106265B1 (en) | 1989-01-11 |
EP0106265B2 EP0106265B2 (en) | 1992-08-26 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP83109915A Expired EP0106265B2 (en) | 1982-10-07 | 1983-10-04 | Image data processing apparatus |
Country Status (3)
Country | Link |
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US (1) | US4590582A (en) |
EP (1) | EP0106265B2 (en) |
DE (1) | DE3378933D1 (en) |
Cited By (1)
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FR2653961A1 (en) * | 1989-11-02 | 1991-05-03 | Gen Electric Cgr | Method of processing an image in order to enhance the contrasts thereof |
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IL71878A (en) * | 1984-05-21 | 1987-11-30 | Elscint Ltd | Intensity level windowing system for image displays |
US4745567A (en) * | 1985-02-01 | 1988-05-17 | American Telephone And Telegraph Company At&T Bell Laboratories | Moment generator |
US4777620A (en) * | 1985-02-20 | 1988-10-11 | Elscint Ltd. | Data compression system |
JPS61195015A (en) * | 1985-02-25 | 1986-08-29 | シーメンス、アクチエンゲゼルシヤフト | Digital filtering circuit apparatus for image signal |
US4753246A (en) * | 1986-03-28 | 1988-06-28 | The Regents Of The University Of California | EEG spatial filter and method |
US4761819A (en) * | 1987-02-27 | 1988-08-02 | Picker International, Inc. | Adaptive noise reduction filter for reconstructed images |
CA1316591C (en) * | 1987-10-20 | 1993-04-20 | Kazuhiro Hishinuma | Method and apparatus for radiation image processing and x-ray image processing |
US5086477A (en) * | 1990-08-07 | 1992-02-04 | Northwest Technology Corp. | Automated system for extracting design and layout information from an integrated circuit |
US5172419A (en) * | 1991-03-05 | 1992-12-15 | Lumisys, Inc. | Medical image processing system |
US5636327A (en) * | 1991-09-18 | 1997-06-03 | Matsushita Electric Industrial Co., Ltd. | Neural network circuit |
US5311428A (en) * | 1992-06-05 | 1994-05-10 | Summit World Trade Corporation | Real time filter for data processing |
JP3093270B2 (en) * | 1993-02-26 | 2000-10-03 | イー‐ワイ ラボラトリーズ インコーポレーテッド | Optical sample analyzer and method |
US5440647A (en) * | 1993-04-22 | 1995-08-08 | Duke University | X-ray procedure for removing scattered radiation and enhancing signal-to-noise ratio (SNR) |
US5857038A (en) * | 1993-06-29 | 1999-01-05 | Canon Kabushiki Kaisha | Image processing apparatus and method for synthesizing first and second image data |
US5595179A (en) * | 1995-05-02 | 1997-01-21 | Acuson Corporation | Adaptive persistence processing |
US5872602A (en) * | 1995-12-13 | 1999-02-16 | Johnson; Robert E. | Fluoroscopic imaging system with image enhancement apparatus and method |
US5708690A (en) * | 1996-10-11 | 1998-01-13 | General Electric Company | Methods and apparatus for helical image reconstruction in a computed tomography fluoro system |
US6246783B1 (en) | 1997-09-17 | 2001-06-12 | General Electric Company | Iterative filter framework for medical images |
JP2002502980A (en) * | 1998-02-10 | 2002-01-29 | イーワイ ラボラトリーズ インコーポレイテッド | Reflection measurement system that compensates for sample holder undulations and removes system noise lock |
US6424730B1 (en) * | 1998-11-03 | 2002-07-23 | Eastman Kodak Company | Medical image enhancement method for hardcopy prints |
US6778692B1 (en) * | 2000-08-11 | 2004-08-17 | General Electric Company | Image processing method and apparatus including image improving circuit |
EP1225756A1 (en) * | 2001-01-03 | 2002-07-24 | Synoptics Limited | Method of obtaining an image |
DE10143484A1 (en) * | 2001-09-05 | 2003-04-03 | Siemens Ag | Adaptive filter |
CN101036161B (en) * | 2004-10-08 | 2011-05-18 | 松下电器产业株式会社 | Image processing apparatus and image processing method |
US8014034B2 (en) * | 2005-04-13 | 2011-09-06 | Acd Systems International Inc. | Image contrast enhancement |
GB2438660B (en) * | 2006-06-02 | 2011-03-30 | Tandberg Television Asa | Recursive filter system for a video signal |
US8189050B1 (en) | 2006-07-19 | 2012-05-29 | Flir Systems, Inc. | Filtering systems and methods for infrared image processing |
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Cited By (1)
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---|---|---|---|---|
FR2653961A1 (en) * | 1989-11-02 | 1991-05-03 | Gen Electric Cgr | Method of processing an image in order to enhance the contrasts thereof |
Also Published As
Publication number | Publication date |
---|---|
EP0106265B1 (en) | 1989-01-11 |
US4590582A (en) | 1986-05-20 |
EP0106265A3 (en) | 1985-03-20 |
DE3378933D1 (en) | 1989-02-16 |
EP0106265B2 (en) | 1992-08-26 |
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Lippman | The graphic-photographic computer: aspects of interpolation |
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